{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ad1cbcac",
   "metadata": {},
   "source": [
    "# 安装"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f053e64e",
   "metadata": {},
   "source": [
    "https://tesseract-ocr.github.io/tessdoc/Home.html\n",
    "\n",
    "https://digi.bib.uni-mannheim.de/tesseract/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "98b39dde",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: http://pypi.douban.com/simple\n",
      "Collecting pytesseract\n",
      "  Downloading http://pypi.doubanio.com/packages/a3/c9/d6e8903482bd6fb994c32722831d15842dd8b614f94ad9ca735807252671/pytesseract-0.3.8.tar.gz (14 kB)\n",
      "Requirement already satisfied: Pillow in d:\\anaconda3\\envs\\ocrcourse\\lib\\site-packages (from pytesseract) (8.2.0)\n",
      "Building wheels for collected packages: pytesseract\n",
      "  Building wheel for pytesseract (setup.py): started\n",
      "  Building wheel for pytesseract (setup.py): finished with status 'done'\n",
      "  Created wheel for pytesseract: filename=pytesseract-0.3.8-py2.py3-none-any.whl size=14072 sha256=8ab54a35958a3f4e406543b6c1ac0ffabdfa3b189ab2e3c4e7f5dd46f97bbdfb\n",
      "  Stored in directory: c:\\users\\administrator\\appdata\\local\\pip\\cache\\wheels\\59\\11\\6d\\e353344cae50c53d44d9c51a6a83a14726691b8910aa417326\n",
      "Successfully built pytesseract\n",
      "Installing collected packages: pytesseract\n",
      "Successfully installed pytesseract-0.3.8\n"
     ]
    }
   ],
   "source": [
    "!pip install pytesseract"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a123419",
   "metadata": {},
   "source": [
    "# 识别文字"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eabe857b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import pytesseract\n",
    "from PIL import Image\n",
    "\n",
    "pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53fc9cf2",
   "metadata": {},
   "source": [
    "![photo3](photo3.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "68c29b9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DEL FRISCO'S #8620\n",
      "1221 Avenue of the Americas\n",
      "\n",
      "New York, New York 10020\n",
      "1075 Rebekkah\n",
      "\n",
      "ri HOF MeChksAOGl grees ce OR SS\n",
      "Apr07'16 07:53PM\n",
      "Dine In\n",
      "\n",
      "4 Strip 160z 212.00\n",
      "\n",
      "1 Ribeye Bone In 69.50\n",
      "\n",
      "1 Cauliflower 16.50\n",
      "\n",
      "1 Baked Potato 10.50\n",
      "\n",
      "1 Asparagus 15.50\n",
      "1 Onion Rings 14.50\n",
      "1 Sauteed Spinach 16.00\n",
      "3 VOSS Sparkling 25.50\n",
      "6 Coke Bt] 24.00\n",
      "SUBTOTAL = 404.00\n",
      "TAX “a 35.86\n",
      "439 .86\n",
      "\f",
      "\n"
     ]
    }
   ],
   "source": [
    "img = cv2.imread(\"photo3.jpg\")\n",
    "str = pytesseract.image_to_string(img)\n",
    "print(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5a1162ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D 127 525 134 536 0\n",
      "E 127 525 142 536 0\n",
      "L 136 525 147 536 0\n",
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      "S 182 527 186 538 0\n",
      "C 186 527 196 538 0\n",
      "O 198 527 204 538 0\n",
      "' 208 536 209 539 0\n",
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      "6 312 309 327 323 0\n",
      ". 319 309 334 323 0\n",
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      "0 346 310 353 323 0\n",
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      ". 323 267 339 281 0\n",
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      "R 117 237 125 252 0\n",
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      "g 145 236 152 249 0\n",
      "s 154 238 161 250 0\n",
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      ". 327 244 341 259 0\n",
      "5 344 245 352 259 0\n",
      "0 353 245 360 260 0\n",
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      "S 61 212 69 228 0\n",
      "a 70 213 78 225 0\n",
      "u 80 213 88 225 0\n",
      "t 89 213 96 229 0\n",
      "e 98 214 106 226 0\n",
      "e 107 214 116 226 0\n",
      "d 117 214 125 230 0\n",
      "S 135 215 143 231 0\n",
      "p 136 213 153 233 0\n",
      "i 145 213 160 231 0\n",
      "n 155 213 172 233 0\n",
      "a 163 216 171 228 0\n",
      "c 172 217 180 228 0\n",
      "h 182 217 199 233 0\n",
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      "6 328 222 337 237 0\n",
      ". 331 222 346 238 0\n",
      "0 341 222 344 226 0\n",
      "0 346 223 364 238 0\n",
      "3 40 188 49 205 0\n",
      "V 60 189 68 207 0\n",
      "O 60 189 78 206 0\n",
      "S 79 190 87 206 0\n",
      "S 88 190 97 207 0\n",
      "S 107 191 115 207 0\n",
      "p 116 188 125 204 0\n",
      "a 118 188 135 210 0\n",
      "r 126 192 134 204 0\n",
      "k 137 192 143 205 0\n",
      "l 145 192 160 210 0\n",
      "i 165 193 169 209 0\n",
      "n 165 188 181 210 0\n",
      "g 173 192 190 206 0\n",
      "2 321 199 330 215 0\n",
      "5 330 199 339 215 0\n",
      ". 333 192 349 221 0\n",
      "5 344 199 346 203 0\n",
      "0 349 200 367 216 0\n",
      "6 39 164 48 181 0\n",
      "C 58 165 66 183 0\n",
      "o 58 165 67 182 0\n",
      "k 68 166 77 178 0\n",
      "e 78 166 96 183 0\n",
      "B 106 167 112 185 0\n",
      "t 106 167 123 184 0\n",
      "] 127 168 132 185 0\n",
      "2 323 175 332 192 0\n",
      "4 326 166 343 197 0\n",
      ". 334 176 342 192 0\n",
      "0 346 176 360 192 0\n",
      "0 361 177 370 193 0\n",
      "S 56 116 65 133 0\n",
      "U 57 107 74 140 0\n",
      "B 66 116 85 134 0\n",
      "T 86 117 95 135 0\n",
      "O 96 117 104 135 0\n",
      "T 106 118 114 135 0\n",
      "A 107 107 124 140 0\n",
      "L 115 118 134 136 0\n",
      "= 298 128 311 129 0\n",
      "4 320 127 327 145 0\n",
      "0 320 128 328 143 0\n",
      "4 329 128 337 143 0\n",
      ". 339 127 355 144 0\n",
      "0 357 127 366 144 0\n",
      "0 367 128 376 145 0\n",
      "T 56 90 64 108 0\n",
      "A 57 80 74 113 0\n",
      "X 65 90 83 109 0\n",
      "“ 168 85 210 121 0\n",
      "a 184 102 222 117 0\n",
      "3 331 101 340 118 0\n",
      "5 332 101 349 120 0\n",
      ". 341 101 358 119 0\n",
      "8 353 101 370 120 0\n",
      "6 360 102 379 120 0\n",
      "4 264 72 283 91 0\n",
      "3 284 72 302 91 0\n",
      "9 304 73 321 92 0\n",
      ". 332 75 337 79 0\n",
      "8 344 75 361 93 0\n",
      "6 363 76 381 94 0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 获取边界框估计\n",
    "boxes = pytesseract.image_to_boxes(img)\n",
    "print(boxes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3850c938",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "level\tpage_num\tblock_num\tpar_num\tline_num\tword_num\tleft\ttop\twidth\theight\tconf\ttext\n",
      "1\t1\t0\t0\t0\t0\t0\t0\t413\t550\t-1\t\n",
      "2\t1\t1\t0\t0\t0\t90\t10\t210\t33\t-1\t\n",
      "3\t1\t1\t1\t0\t0\t90\t10\t210\t33\t-1\t\n",
      "4\t1\t1\t1\t1\t0\t127\t10\t140\t15\t-1\t\n",
      "5\t1\t1\t1\t1\t1\t127\t14\t20\t11\t91\tDEL\n",
      "5\t1\t1\t1\t1\t2\t159\t11\t61\t13\t80\tFRISCO'S\n",
      "5\t1\t1\t1\t1\t3\t230\t10\t37\t12\t96\t#8620\n",
      "4\t1\t1\t1\t2\t0\t90\t27\t210\t16\t-1\t\n",
      "5\t1\t1\t1\t2\t1\t90\t32\t26\t11\t96\t1221\n",
      "5\t1\t1\t1\t2\t2\t128\t32\t45\t10\t96\tAvenue\n",
      "5\t1\t1\t1\t2\t3\t183\t29\t13\t11\t96\tof\n",
      "5\t1\t1\t1\t2\t4\t207\t29\t22\t10\t96\tthe\n",
      "5\t1\t1\t1\t2\t5\t238\t27\t62\t11\t93\tAmericas\n",
      "2\t1\t2\t0\t0\t0\t48\t43\t245\t54\t-1\t\n",
      "3\t1\t2\t1\t0\t0\t48\t43\t245\t54\t-1\t\n",
      "4\t1\t2\t1\t1\t0\t104\t43\t189\t17\t-1\t\n",
      "5\t1\t2\t1\t1\t1\t104\t49\t22\t11\t96\tNew\n",
      "5\t1\t2\t1\t1\t2\t136\t48\t36\t11\t96\tYork,\n",
      "5\t1\t2\t1\t1\t3\t184\t46\t22\t11\t96\tNew\n",
      "5\t1\t2\t1\t1\t4\t215\t45\t30\t12\t96\tYork\n",
      "5\t1\t2\t1\t1\t5\t257\t43\t36\t12\t95\t10020\n",
      "4\t1\t2\t1\t2\t0\t48\t83\t103\t14\t-1\t\n",
      "5\t1\t2\t1\t2\t1\t48\t85\t29\t12\t92\t1075\n",
      "5\t1\t2\t1\t2\t2\t87\t83\t64\t13\t92\tRebekkah\n",
      "2\t1\t3\t0\t0\t0\t37\t99\t344\t379\t-1\t\n",
      "3\t1\t3\t1\t0\t0\t37\t99\t328\t91\t-1\t\n",
      "4\t1\t3\t1\t1\t0\t37\t99\t328\t35\t-1\t\n",
      "5\t1\t3\t1\t1\t1\t37\t109\t22\t25\t37\tri\n",
      "5\t1\t3\t1\t1\t2\t63\t108\t70\t25\t21\tHOF\n",
      "5\t1\t3\t1\t1\t3\t137\t99\t228\t31\t0\tMeChksAOGl\n",
      "5\t1\t3\t1\t1\t4\t236\t95\t47\t46\t22\tgrees\n",
      "5\t1\t3\t1\t1\t5\t289\t95\t13\t46\t13\tce\n",
      "5\t1\t3\t1\t1\t6\t312\t95\t24\t46\t12\tOR\n",
      "5\t1\t3\t1\t1\t7\t343\t95\t24\t46\t16\tSS\n",
      "4\t1\t3\t1\t2\t0\t136\t133\t132\t18\t-1\t\n",
      "5\t1\t3\t1\t2\t1\t136\t135\t65\t16\t75\tApr07'16\n",
      "5\t1\t3\t1\t2\t2\t211\t133\t57\t14\t79\t07:53PM\n",
      "4\t1\t3\t1\t3\t0\t67\t174\t117\t16\t-1\t\n",
      "5\t1\t3\t1\t3\t1\t67\t176\t66\t14\t96\tDine\n",
      "5\t1\t3\t1\t3\t2\t155\t174\t29\t13\t96\tIn\n",
      "3\t1\t3\t2\t0\t0\t49\t183\t300\t27\t-1\t\n",
      "4\t1\t3\t2\t1\t0\t49\t183\t300\t27\t-1\t\n",
      "5\t1\t3\t2\t1\t1\t49\t197\t8\t12\t89\t4\n",
      "5\t1\t3\t2\t1\t2\t67\t195\t42\t15\t89\tStrip\n",
      "5\t1\t3\t2\t1\t3\t120\t194\t31\t13\t88\t160z\n",
      "5\t1\t3\t2\t1\t4\t289\t183\t60\t26\t93\t212.00\n",
      "3\t1\t3\t3\t0\t0\t50\t207\t301\t23\t-1\t\n",
      "4\t1\t3\t3\t1\t0\t50\t207\t301\t23\t-1\t\n",
      "5\t1\t3\t3\t1\t1\t50\t216\t4\t14\t88\t1\n",
      "5\t1\t3\t3\t1\t2\t66\t215\t51\t15\t88\tRibeye\n",
      "5\t1\t3\t3\t1\t3\t127\t214\t34\t13\t96\tBone\n",
      "5\t1\t3\t3\t1\t4\t172\t212\t15\t14\t96\tIn\n",
      "5\t1\t3\t3\t1\t5\t309\t207\t42\t14\t93\t69.50\n",
      "3\t1\t3\t4\t0\t0\t49\t227\t304\t23\t-1\t\n",
      "4\t1\t3\t4\t1\t0\t49\t227\t304\t23\t-1\t\n",
      "5\t1\t3\t4\t1\t1\t49\t236\t4\t14\t95\t1\n",
      "5\t1\t3\t4\t1\t2\t65\t233\t96\t17\t75\tCauliflower\n",
      "5\t1\t3\t4\t1\t3\t312\t227\t41\t14\t91\t16.50\n",
      "3\t1\t3\t5\t0\t0\t48\t247\t308\t24\t-1\t\n",
      "4\t1\t3\t5\t1\t0\t48\t247\t308\t24\t-1\t\n",
      "5\t1\t3\t5\t1\t1\t48\t257\t4\t14\t92\t1\n",
      "5\t1\t3\t5\t1\t2\t64\t255\t44\t16\t96\tBaked\n",
      "5\t1\t3\t5\t1\t3\t118\t254\t52\t15\t96\tPotato\n",
      "5\t1\t3\t5\t1\t4\t314\t247\t42\t15\t92\t10.50\n",
      "3\t1\t3\t6\t0\t0\t38\t268\t343\t210\t-1\t\n",
      "4\t1\t3\t6\t1\t0\t47\t268\t312\t26\t-1\t\n",
      "5\t1\t3\t6\t1\t1\t47\t278\t3\t15\t95\t1\n",
      "5\t1\t3\t6\t1\t2\t63\t278\t80\t16\t95\tAsparagus\n",
      "5\t1\t3\t6\t1\t3\t316\t268\t43\t15\t94\t15.50\n",
      "4\t1\t3\t6\t2\t0\t46\t286\t314\t30\t-1\t\n",
      "5\t1\t3\t6\t2\t1\t46\t301\t3\t15\t96\t1\n",
      "5\t1\t3\t6\t2\t2\t62\t300\t45\t15\t96\tOnion\n",
      "5\t1\t3\t6\t2\t3\t117\t298\t44\t16\t96\tRings\n",
      "5\t1\t3\t6\t2\t4\t318\t286\t42\t29\t74\t14.50\n",
      "4\t1\t3\t6\t3\t0\t44\t312\t320\t26\t-1\t\n",
      "5\t1\t3\t6\t3\t1\t44\t323\t4\t15\t96\t1\n",
      "5\t1\t3\t6\t3\t2\t61\t320\t64\t18\t95\tSauteed\n",
      "5\t1\t3\t6\t3\t3\t135\t317\t64\t20\t95\tSpinach\n",
      "5\t1\t3\t6\t3\t4\t320\t312\t44\t16\t95\t16.00\n",
      "4\t1\t3\t6\t4\t0\t40\t329\t327\t33\t-1\t\n",
      "5\t1\t3\t6\t4\t1\t40\t345\t9\t17\t90\t3\n",
      "5\t1\t3\t6\t4\t2\t60\t343\t37\t18\t90\tVOSS\n",
      "5\t1\t3\t6\t4\t3\t107\t340\t83\t22\t84\tSparkling\n",
      "5\t1\t3\t6\t4\t4\t321\t329\t46\t29\t46\t25.50\n",
      "4\t1\t3\t6\t5\t0\t39\t353\t331\t33\t-1\t\n",
      "5\t1\t3\t6\t5\t1\t39\t369\t9\t17\t95\t6\n",
      "5\t1\t3\t6\t5\t2\t58\t367\t38\t18\t95\tCoke\n",
      "5\t1\t3\t6\t5\t3\t106\t365\t26\t18\t38\tBt]\n",
      "5\t1\t3\t6\t5\t4\t323\t353\t47\t31\t92\t24.00\n",
      "4\t1\t3\t6\t6\t0\t56\t405\t320\t38\t-1\t\n",
      "5\t1\t3\t6\t6\t1\t56\t410\t78\t33\t96\tSUBTOTAL\n",
      "5\t1\t3\t6\t6\t2\t298\t421\t13\t1\t53\t=\n",
      "5\t1\t3\t6\t6\t3\t320\t405\t56\t18\t77\t404.00\n",
      "4\t1\t3\t6\t7\t0\t56\t429\t323\t41\t-1\t\n",
      "5\t1\t3\t6\t7\t1\t56\t437\t27\t33\t93\tTAX\n",
      "5\t1\t3\t6\t7\t2\t168\t429\t54\t36\t40\t“a\n",
      "5\t1\t3\t6\t7\t3\t331\t430\t48\t19\t92\t35.86\n",
      "4\t1\t3\t6\t8\t0\t264\t456\t117\t22\t-1\t\n",
      "5\t1\t3\t6\t8\t1\t264\t458\t57\t20\t90\t439\n",
      "5\t1\t3\t6\t8\t2\t332\t456\t49\t19\t90\t.86\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 获取详细数据，包括框、置信度、行号和页码\n",
    "data = pytesseract.image_to_data(img)\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3458cacd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Page number: 0\n",
      "Orientation in degrees: 0\n",
      "Rotate: 0\n",
      "Orientation confidence: 3.80\n",
      "Script: Latin\n",
      "Script confidence: 6.67\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 获取有关方向和脚本检测的信息\n",
    "osd = pytesseract.image_to_osd(img)\n",
    "print(osd)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff506286",
   "metadata": {},
   "source": [
    "# 语言库\n",
    "\n",
    "语言库地址为：https://github.com/tesseract-ocr/tessdata\n",
    "\n",
    "将所需要的语言库下载下来，放在C:\\Program Files\\Tesseract-OCR\\tessdata目录下"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e08e13d",
   "metadata": {},
   "source": [
    "## 语言列表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cfb02279",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['chi_sim', 'eng', 'osd']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pytesseract.get_languages(config='')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64608022",
   "metadata": {},
   "source": [
    "## 例子1\n",
    "![photo1](photo1.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "96956640",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  \n",
      "        \n",
      "    \n",
      "\n",
      " \n",
      " \n",
      "   \n",
      "\n",
      "Poe a 园 H\n",
      "\n",
      "Pare Wea ts\n",
      "\n",
      "“ rh Binjiang Ave.AN Lujiazui Ring 0\n",
      "L er\n",
      "- E 希\n",
      "\n",
      "IS\n",
      "\f",
      "\n"
     ]
    }
   ],
   "source": [
    "img1 = cv2.imread(\"photo1.jpg\")\n",
    "str1 = pytesseract.image_to_string(img1, lang=\"eng+chi_sim\")\n",
    "print(str1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "1a9411b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     \n",
      "   \n",
      "  \n",
      "\n",
      "DBE en\n",
      "\n",
      "Mingzhuta 84\n",
      "\n",
      "Pet Ac Ul ee\n",
      "\n",
      "Binjiang Ave. Lujiazui Ring Rd.\n",
      "iO\n",
      "ie\n",
      "\n",
      "  \n",
      "\f",
      "\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "image = cv2.imread(\"photo1.jpg\")\n",
    "gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "ret, gray = cv2.threshold(gray, 170, 255, cv2.THRESH_BINARY)\n",
    "\n",
    "plt.imshow(gray)\n",
    "plt.show()\n",
    "\n",
    "str11 = pytesseract.image_to_string(gray, lang=\"eng+chi_sim\")\n",
    "print(str11)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f68aef44",
   "metadata": {},
   "source": [
    "## 发票\n",
    "![photo2](photo2.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "479aa728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  \n",
      "\n",
      "“a\n",
      "\n",
      "机 器 编 号 : 661824250650\n",
      "\n",
      "发 票 代 码 :044032100111\n",
      "、\n",
      "Re 发 票 号 码 :32350172\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "开 票 日 期 : 2021 年 09 月 19 日\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "校 验 码 :81881 01445 21056 15957\n",
      "\n",
      " \n",
      "\n",
      "购\n",
      "纳 税 人 识 别 号\n",
      "\n",
      "也 址 、 电 话\n",
      "\n",
      " \n",
      "\n",
      "名 称 : 深 圳\n",
      "\n",
      ": 深 圳\n",
      "户 行 及 账 号 :\n",
      "\n",
      "『 三 叶 梅 会 计 服 务 有 限 责 任 公\n",
      "40300MA5GDEY4 9X\n",
      "\n",
      " \n",
      "\n",
      "『 龙 华\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "区 大 浪 街 道 龙 平 社 区 曼 海 宁 北\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "6200-4-25**->012580656*27+0\n",
      "37>0+7+92*88+7247* 6* 668%*-*<\n",
      "30488<-7>251+>*6>0/5791+/7>\n",
      "27<*65/0+<**0880751558>+>10\n",
      "\n",
      " \n",
      "\n",
      "\\ga\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "# 服 装 $ 运 动 服 装\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "# 体 育 用 品 # 体 育 器 材 及 配 仁\n",
      "\n",
      " \n",
      "\n",
      "人\n",
      "口\n",
      "\n",
      "J\n",
      "质 物 或 应 税 劳 务 、 服 务 名 称\n",
      "# 体 育 用 品 # 体 育 器 材 及 配 仁\n",
      "\n",
      " \n",
      "\n",
      "规 格 型 号 | 单 位\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "金 频 税 率 税 频\n",
      "44.16 44.16] 13% 5.74\n",
      "132.65 132.65] 13% 17.25\n",
      "17.61 17.61} 13% 2.29\n",
      "¥194.42 ¥25.28\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "价 税 合 计 ( 大 写 )\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "@ 歪 佰 壹 拾 玖\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "( 小 写 泉 219 .70\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "唷 避\n",
      "\n",
      "方\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "名 称 : 迪 卡 侬 体 育\n",
      "纳 税 人 识 别 号 :91440300772712315J\n",
      "地 址 、 电 话 : 深 圳 南 山 区 沙 河 东\n",
      "\n",
      "开 户 行 及 账 号 : 中 国 工 商 银 行 深 坂\n",
      "\n",
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      "\n",
      " \n",
      "\n",
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      "品 崎 圳 ) 有 限 公 司\n",
      "\n",
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      "路 255 号 1 栋 0755-86239003\n",
      "蛇 口 支 行 4000020219200166585\n",
      "\n",
      " \n",
      "\n",
      " \n",
      "\n",
      "交 易 号 , 0491210/0175736, 折 扣 额 :, 0.0, 礼 券 支 付 金\n",
      "额 : 0.0, 退 换 货 金 额 , 0.0 ( 淅\n",
      "\n",
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      "MD >\n",
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      "限 )\n",
      "9M403007727123151 立\n",
      "\n",
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      "收 款 人 : 王 洁 璐\n",
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      "复 核 : 丁 倍 俊\n",
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      "\n",
      "     \n",
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      " \n",
      "\f",
      "\n"
     ]
    }
   ],
   "source": [
    "img2 = cv2.imread(\"photo2.jpg\")\n",
    "str2 = pytesseract.image_to_string(img2, lang=\"eng+chi_sim\")\n",
    "print(str2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aef950b5",
   "metadata": {},
   "source": [
    "## 手写\n",
    "![photo4](photo4.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "e514c330",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n",
      "\f",
      "\n"
     ]
    }
   ],
   "source": [
    "img4 = cv2.imread(\"photo4.jpg\")\n",
    "str4 = pytesseract.image_to_string(img4, lang=\"eng\", config=\"--psm 8 -c tessedit_char_whitelist=0123456789\")\n",
    "print(str4)"
   ]
  }
 ],
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   "name": "python3"
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    "version": 3
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   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.11"
  },
  "toc": {
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   "title_cell": "Table of Contents",
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 },
 "nbformat": 4,
 "nbformat_minor": 5
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